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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 11 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 3 days ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 10 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 8 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed
Sequential selection, introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence, consists in performing the evaluations of the different offspring...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 3 days ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz